Triple
T19206343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thornton |
E480242
|
entity |
| Predicate | inspiresEmotionIn |
P4910
|
FINISHED |
| Object | Buck’s intense devotion |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Buck’s intense devotion | Statement: [John Thornton, inspiresEmotionIn, Buck’s intense devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiresEmotionIn Context triple: [John Thornton, inspiresEmotionIn, Buck’s intense devotion]
-
A.
inspiration
chosen
Indicates that one entity serves as a motivating or creative influence that stimulates ideas, actions, or feelings in another entity.
-
B.
provokesEmotionType
Indicates that one entity causes or elicits a specific type of emotional response in another entity.
-
C.
designedToEvoke
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
-
D.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
E.
emotionalTrigger
Indicates that one entity causes or elicits an emotional response or reaction in another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99d8ad0819098ebd4ee007149f1 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:19 p.m.